What is considered a high standard deviation?

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SUMMARY

This discussion focuses on determining what constitutes a high standard deviation in behavioral variation among species in a primatology project. The participant has calculated the mean and standard deviation for one species and seeks clarity on the significance of these values. It is established that a standard deviation is context-dependent, with a common rule of thumb suggesting that a standard deviation greater than 10% of the mean indicates high variability. However, the importance of standard deviation is often overshadowed by the Z-Score and the need for comparative analysis between species.

PREREQUISITES
  • Understanding of basic statistical concepts, including mean and standard deviation.
  • Familiarity with Z-Scores and their application in data analysis.
  • Knowledge of regression and correlation analysis techniques.
  • Ability to interpret statistical data in a biological context.
NEXT STEPS
  • Research the application of Z-Scores in behavioral studies.
  • Learn about regression analysis methods for modeling behavioral data.
  • Explore comparative statistical analysis techniques for species variation.
  • Investigate graphical representation methods for displaying standard deviation and mean data.
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Primatologists, behavioral ecologists, statisticians, and researchers analyzing variation in animal behavior will benefit from this discussion.

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I am working on a primatology project where I need to find a way to measure and plot the (somewhat arbitary) level of variation in behavior (ie from one individual to the next) within a single species and then compare it to another species level of variation. I have entered the data for the select behaviors that will go into this calculation, and I have calculated the mean and standard deviation for one species. But what is considered a high standard of deviation? My conclusion depends on such calculations, so any help is appreciated, even suggestions for other ways to mathematically calculate values of variation and represent them in charts/graphs. I only have data for 4-5 individuals per species, so I don't think all charts/graphs will be appropriate.

p.s. I haven't taken any real math since high school, so a simple explanation is best. So far, I've read that if you divide the stdev by the mean and get 10% or over, it's considered a high stdev.
 
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That depends on what you are trying to do. The standard deviation is generally less important than the Z-Score - i.e. how many standard deviations a particular measurement is from the mean. If you are attempting to model some process then a "large" standard deviation may indicate some problem with your particular model or data collection methodology.

Standard deviation has meaning only in a particular context. In physics, for example, a large standard deviation in the speed of gas particles means the gas is hot!

Also, if you are attempting to model something, you may be more interested in regression or correlation analysis.
 
What you can do is compare standard deviations for the behavioral traits of the two species and say that one species shows a larger deviation than the other. By itself, the standard deviation can't be high or low, without a context. The context is usually provided either by theory (which for something like what you are studying, is hugely inadequate) or by more statistics. If most apecies show a deviation of about d in some parameter, and a particular species shows a much larger deviation (3d, say), you might be able to say something about that species (eg : they like to screw around :biggrin: ). Without something else to compare to, there's not much you can say.

p.s. I haven't taken any real math since high school, so a simple explanation is best. So far, I've read that if you divide the stdev by the mean and get 10% or over, it's considered a high stdev.
That itself must have been written in some specific context. In general, that statement makes little sense. In the standard normal distribution, for instance, the mean is zero. So, by that argument, any standard normal distribution will have a standard deviation that is too high.
 
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Cool, that's what I did. As for the 10% thing, I just googled a quick search and found a forum message about it. We know how reliable that can be:-p
 

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